Henry Kvinge

发表

A Frobenius-Schreier-Sims Algorithm to tensor decompose algebras

James B. Wilson, I. Kessler, Henry Kvinge, 2018, 1812.03346.

TopTemp: Parsing Precipitate Structure from Temper Topology

Keerti Kappagantula, Lara Kassab, T. Emerson, 2022, ArXiv.

On the Symmetries of Deep Learning Models and their Internal Representations

T. Emerson, Henry Kvinge, Charles Godfrey, 2022, ArXiv.

On the Symmetries of Deep Learning Models and their Internal Representations

T. Emerson, Henry Kvinge, Charles Godfrey, 2022, ArXiv.

On the Symmetries of Deep Learning Models and their Internal Representations

T. Emerson, Henry Kvinge, Charles Godfrey, 2022, ArXiv.

Convolutional networks inherit frequency sensitivity from image statistics

Henry Kvinge, Charles Godfrey, Davis Brown, 2022, ArXiv.

Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools

Henry Kvinge, Davis Brown, 2021, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Do Neural Networks Trained with Topological Features Learn Different Internal Representations?

T. Emerson, Henry Kvinge, Sarah McGuire, 2022, NeurReps.

Neural frames: A Tool for Studying the Tangent Bundles Underlying Image Datasets and How Deep Learning Models Process Them

T. Emerson, Henry Kvinge, Charles Godfrey, 2022, ArXiv.

Convolutional networks inherit frequency sensitivity from image statistics

Henry Kvinge, Charles Godfrey, Davis Brown, 2022, ArXiv.

In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?

T. Doster, T. Emerson, Henry Kvinge, 2022, ArXiv.

Hypergraph models of biological networks to identify genes critical to pathogenic viral response

Qing Tan, Cliff Joslyn, Brenda Praggastis, 2020, BMC Bioinform..

Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack pdf

Henry Kvinge, Davis Brown, Henry Kvinge, 2021, ArXiv.

More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing

Michael Kirby, Chris Peterson, Julia R. Dupuis, 2019, Defense + Commercial Sensing.

Total variation vs L1 regularization: a comparison of compressive sensing optimization methods for chemical detection

Michael Kirby, Chris Peterson, Julia R. Dupuis, 2019, Computational Imaging V.

The center of the twisted Heisenberg category, factorial Schur Q-functions, and transition functions on the Schur graph

M. Reeks, Henry Kvinge, Can Ozan Oğuz, 2017, Journal of Algebraic Combinatorics.

Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps

Henry Kvinge, Nico Courts, 2021, ICLR.

Coherent systems of probability measures on graphs for representations of free Frobenius towers

Henry Kvinge, 2018, 1810.11555.

How many dimensions are required to find an adversarial example?

T. Doster, Henry Kvinge, Charles Godfrey, 2023, ArXiv.

ENDMEMBER EXTRACTION ON THE GRASSMANNIAN

Michael Kirby, Chris Peterson, Henry Kvinge, 2018, 2018 IEEE Data Science Workshop (DSW).

On the Symmetries of Deep Learning Models and their Internal Representations

T. Emerson, Henry Kvinge, Charles Godfrey, 2022, NeurIPS.

Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension

Henry Kvinge, Charles Godfrey, Davis Brown, 2023, ArXiv.

One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations pdf

Elliott Skomski, Henry Kvinge, Nico Courts, 2021, ArXiv.

Khovanov’s Heisenberg category, moments in free probability, and shifted symmetric functions

Anthony Licata, Henry Kvinge, S. Mitchell, 2016, Algebraic Combinatorics.

Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large datasets

Michael Kirby, Chris Peterson, Henry Kvinge, 2018, 2018 IEEE International Conference on Big Data (Big Data).

A data-driven approach to sampling matrix selection for compressive sensing pdf

Christian W. Smith, Michael Kirby, Chris Peterson, 2019, Computational Imaging V.

SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions

Ian Stewart, Sameera Horawalavithana, Henry Kvinge, 2023, ArXiv.

A Combinatorial Categorification of the Tensor Product of the Kirillov-Reshetikhin Crystal B1,1 and a Fundamental Crystal

M. Vazirani, Henry Kvinge, Henry Kvinge, 2018 .

Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics

Henry Kvinge, Elin Farnell, Elin Farnell, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Fast computation of permutation equivariant layers with the partition algebra

Henry Kvinge, Charles Godfrey, Davis Brown, 2023, ArXiv.

Dimensionality Reduction*

Elin Farnell, Sofya Chepushtanova, Eric Kehoe, 2019, Design and Analysis of Algorithms.

Robustness of edited neural networks

Henry Kvinge, Cody A. Nizinski, Charles Godfrey, 2023, ArXiv.

Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Toward ML-Assisted Advanced Manufacturing

Lara Kassab, T. Emerson, Henry Kvinge, 2023, Integrating Materials and Manufacturing Innovation.

A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data

Michael Kirby, Chris Peterson, Henry Kvinge, 2019, WSOM+.

Edit at your own risk: evaluating the robustness of edited models to distribution shifts

Henry Kvinge, Cody A. Nizinski, Charles Godfrey, 2023, 2303.00046.

A Topological-Framework to Improve Analysis of Machine Learning Model Performance pdf

Luke J. Gosink, Xiaolong Ma, Elizabeth Jurrus, 2021, ArXiv.

Attributing Learned Concepts in Neural Networks to Training Data

Henry Kvinge, Charles Godfrey, Davis Brown, 2023, ArXiv.

Understanding the Inner Workings of Language Models Through Representation Dissimilarity

Henry Kvinge, Charles Godfrey, Davis Brown, 2023, EMNLP.

Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds

T. Emerson, Henry Kvinge, Charles Godfrey, 2022, 2211.10558.

Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps

T. Emerson, Loc Truong, Henry Kvinge, 2022, TAG-ML.

Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus

T. Emerson, Henry Kvinge, Davis Brown, 2023, 2312.04600.

Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities

Sameera Horawalavithana, T. Emerson, Henry Kvinge, 2024, ArXiv.

TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data

Audun D. Myers, T. Emerson, Henry Kvinge, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).